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Adam Zsarnóczay

Biographic Data

ID9720499
NAMEAdam Zsarnóczay
GIVEN NAMESAdam
FAMILY NAMEZsarnóczay
SIGNATUREZSARNÓCZAY A
AFFILIATIONSStanford University
ORCID0000-0001-6895-1417
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Exposure matters

    Open Access•Meredith Lochhead, Adam Zsarnóczay et al.•ARTICLE•International Journal of Disaster…•2026

    Regional simulations of the impact of natural hazards on the built environment can be used to support disaster risk management and guide mitigation priorities, and these assessments are underpinned by building inventories. Historically, building inventory development has primarily been driven by insurance companies and government agencies, typically targeting aggregate risk and impact measures. The increasing feasibility of modeling impacts beyon…

  • Validation of an Augmented Parcel Approach for Hurricane Regional Loss Assessments

    Tracy Kijewski‐Correa, Barbaros Cetiner et al.•ARTICLE•Natural Hazards Review•2023

    While simulation environments for the study of community resilience are rapidly advancing, they remain constrained by the completeness of inventory data. This paper presents an augmented parcel approach leveraging various sources of open data, machine learning modules, and time-evolving rulesets to support Hazus-compatible risk assessments on a wide class of buildings under hurricane wind and flood hazards. These techniques are implemented within…

  • Community Perspectives on Simulation and Data Needs for the Study of Natural Hazard Impacts and Recovery

    Adam Zsarnóczay, Gregory G Deierlein et al.•ARTICLE•Natural Hazards Review•2023

    With the aim of fostering the development of robust tools to simulate the impact of natural hazards on structures, lifelines, and communities, the Natural Hazards Engineering Research Infrastructure Computational Modeling and Simulation Center gathered 60 researchers, developers, and practitioners working in natural hazards engineering (NHE) for a workshop to prioritize research questions and identify community needs for data and computational si…

No prominent works on this page.

  • Validation of an Augmented Parcel Approach for Hurricane Regional Loss Assessments

    Tracy Kijewski‐Correa, Barbaros Cetiner et al.•ARTICLE•Natural Hazards Review•2023

    While simulation environments for the study of community resilience are rapidly advancing, they remain constrained by the completeness of inventory data. This paper presents an augmented parcel approach leveraging various sources of open data, machine learning modules, and time-evolving rulesets to support Hazus-compatible risk assessments on a wide class of buildings under hurricane wind and flood hazards. These techniques are implemented within…

  • Community Perspectives on Simulation and Data Needs for the Study of Natural Hazard Impacts and Recovery

    Adam Zsarnóczay, Gregory G Deierlein et al.•ARTICLE•Natural Hazards Review•2023

    With the aim of fostering the development of robust tools to simulate the impact of natural hazards on structures, lifelines, and communities, the Natural Hazards Engineering Research Infrastructure Computational Modeling and Simulation Center gathered 60 researchers, developers, and practitioners working in natural hazards engineering (NHE) for a workshop to prioritize research questions and identify community needs for data and computational si…

  • Exposure matters

    Open Access•Meredith Lochhead, Adam Zsarnóczay et al.•ARTICLE•International Journal of Disaster…•2026

    Regional simulations of the impact of natural hazards on the built environment can be used to support disaster risk management and guide mitigation priorities, and these assessments are underpinned by building inventories. Historically, building inventory development has primarily been driven by insurance companies and government agencies, typically targeting aggregate risk and impact measures. The increasing feasibility of modeling impacts beyon…

Computer Science (2 works) · Engineering (2 works) · Flood Risk Assessment and Management (2 works) · Geography (2 works) · Hazard (2 works) · Infrastructure Maintenance and Monitoring (2 works) · Natural hazard (2 works) · Workflow (2 works) · Artificial Intelligence (1 work) · BIM and Construction Integration (1 work)

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